Applying a Reference Objects Preselection Algorithm to Real-World Data
- Authors: Bondarenko N.N.1
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Affiliations:
- Faculty of Computational Mathematics and Cybernetics
- Issue: Vol 28, No 3 (2018)
- Pages: 427-429
- Section: Applied Problems
- URL: https://bakhtiniada.ru/1054-6618/article/view/195402
- DOI: https://doi.org/10.1134/S1054661818030045
- ID: 195402
Cite item
Abstract
The problem of optimal selection of learning objects is investigated. The effectiveness of the previously proposed iterative method for generating sets of relevant precedents is demonstrated on real-world data.
About the authors
N. N. Bondarenko
Faculty of Computational Mathematics and Cybernetics
Author for correspondence.
Email: kolianmos1@gmail.com
Russian Federation, Moscow
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